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KenobiDB - document-based data store built over SQLite (patx.github.io)

submitted 2 months ago by [email protected] to c/[email protected]

21 comments fedilink hide all child comments

>>> from kenobi import KenobiDB  

>>> db = KenobiDB('example.db')  

>>> db.insert({'name': 'Yoda', 'lightsaber': 'green'})  
True  

>>> db.search('lightsaber', 'green')  
[{'name': 'Yoda', 'lightsaber': 'green'}]

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[–] [email protected] 4 points 2 months ago (1 children)

KenobiDB is designed for small-scale applications and prototypes. While it provides excellent performance for most operations, it is not intended to replace full-fledged databases for high-scale or enterprise-level applications for that you should use MongoDB.

Only MongoDB is webscale...

[–] [email protected] 0 points 2 months ago* (last edited 2 months ago) (1 children)

Which is stated very clearly.

Not stated, kenobi data engine is limited to only sqlite3. Would pigeon hole yourself unable to switch data engines later on. For that usecase, recommend an ORM (SQLAlchemy).

kenobi looks like a fun project. Not every project needs to be bleeding edge or the bestest. kenobi is a good choice who those who are making a local app that doesn't deal with requests.

[–] [email protected] 3 points 2 months ago (1 children)

Don't make me explain the joke.

[–] [email protected] 0 points 2 months ago (1 children)

Oh! How embarrassing. Gonna pretend i understand the joke and hope no one notices.

Not familiar enough with MongoDB, besides it's not exactly open source

[–] [email protected] 3 points 2 months ago* (last edited 2 months ago) (1 children)

All you need to understand about MongoDB is that it is webscale, because it doesn't do joins and it has the most kick-ass benchmarks. And sharding.

[–] [email protected] 2 points 1 month ago

sharing is the secret to the web scale sauce. you just turn it on and it scales right up